SOURCE-LINKED INTELLIGENCE
CPR-IE:A Compression-Prediction-Resource Intelligence Efficiency Metric
Comparing intelligent systems under deployment constraints requires more than predictiveaccuracy.This paper develops Compression-Prediction-Resource Intelligence Efficiency (CPR-IE) as a protocol-relative ordering by representational economy, predictive quality, and resourceburden. The analysis separates two questions-how raw resource consumption is represented, andhow the resulting attributes are aggregated. Proportional-increment composition uniquely yieldslogarithmic cumulative burden, and context-independent ratio response yields power responsesto compression, prediction, and burden; with
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T07:06:21.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.